GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

17 June 2020

J. Qiu

Qibin Chen

Yuxiao Dong

Jing Zhang

Hongxia Yang

Papers citing "GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training"

50 / 369 papers shown

Title
Deeper-GXX: Deepening Arbitrary GNNs Lecheng Zheng Dongqi Fu Ross Maciejewski Jingrui He 19 11 0 26 Oct 2021
ifMixup: Interpolating Graph Pair to Regularize Graph Classification Hongyu Guo Yongyi Mao 17 9 0 18 Oct 2021
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs Langzhang Liang Cuiyun Gao Shiyi Chen Shishi Duan Y. Pan Junjin Zheng Lei Wang Zenglin Xu 28 0 0 18 Oct 2021
Edge Rewiring Goes Neural: Boosting Network Resilience without Rich Features Shanchao Yang Kaili Ma Baoxiang Wang Tianshu Yu H. Zha AAML 19 0 0 18 Oct 2021
Heterogeneous Graph-Based Multimodal Brain Network Learning Gen Shi Yifan Zhu Wenjin Liu Quanming Yao Xia Li 16 7 0 16 Oct 2021
Self-supervised Contrastive Attributed Graph Clustering Wei Xia Quanxue Gao Ming Yang Xinbo Gao SSL 56 29 0 15 Oct 2021
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training Ziyue Qiao Yanjie Fu Pengyang Wang Meng Xiao Zhiyuan Ning Denghui Zhang Yi Du Yuanchun Zhou 20 12 0 08 Oct 2021
Weakly-supervised Text Classification Based on Keyword Graph Lu Zhang Jiandong Ding Yi Xu Yingyao Liu Shuigeng Zhou OffRL OOD 36 56 0 06 Oct 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning Jun-Xiong Xia Lirong Wu Ge Wang Jintao Chen Stan Z. Li 25 120 0 05 Oct 2021
Deep Fraud Detection on Non-attributed Graph Chen Wang Yingtong Dou Min Chen Jia Chen Zhiwei Liu Philip S. Yu GNN 30 19 0 04 Oct 2021
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction Zaixin Zhang Qi Liu Hao Wang Chengqiang Lu Chee-Kong Lee SSL AI4CE 29 248 0 03 Oct 2021
Adaptive Multi-layer Contrastive Graph Neural Networks S. Shi Pengfei Xie Xu Luo Kai Qiao Linyuan Wang Jian Chen B. Yan OOD 19 5 0 29 Sep 2021
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction Shuangli Li Jingbo Zhou Tong Bill Xu Dejing Dou Hui Xiong AI4CE 17 118 0 24 Sep 2021
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning Jianguo Zhang Trung Bui Seunghyun Yoon Xiang Chen Zhiwei Liu Congying Xia Quan Hung Tran Walter Chang Philip Yu VLM 15 87 0 13 Sep 2021
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation Junwei Zhang Min Gao Junliang Yu Lei Guo Jundong Li Hongzhi Yin 8 123 0 09 Sep 2021
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning Baoyu Jing Shengyu Feng Yuejia Xiang Xi Chen Yu Chen Hanghang Tong 39 27 0 08 Sep 2021
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation Haoran Yang Hongxu Chen Lin Li Philip S. Yu Guandong Xu 16 42 0 07 Sep 2021
An Empirical Study of Graph Contrastive Learning Yanqiao Zhu Yichen Xu Qiang Liu Shu Wu 11 167 0 02 Sep 2021
Multi-Sample based Contrastive Loss for Top-k Recommendation H. Tang Guoshuai Zhao Yuxia Wu Xueming Qian 23 32 0 01 Sep 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 25 83 0 26 Aug 2021
When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? Xu Liu Yuxuan Liang Chao Huang Yu Zheng Bryan Hooi Roger Zimmermann AI4TS 11 60 0 26 Aug 2021
Graph Contrastive Pre-training for Effective Theorem Reasoning Zhaoyu Li Binghong Chen X. Si 14 4 0 24 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 19 42 0 24 Aug 2021
Graph Contrastive Learning for Anomaly Detection Bo Chen Jing Zhang Xiaokang Zhang Yuxiao Dong Jian Song Peng-Zhen Zhang Kai Xu Evgeny Kharlamov Jie Tang 21 41 0 17 Aug 2021
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation Zhiwei Liu Yong-Guang Chen Jia Li Philip S. Yu Julian McAuley Caiming Xiong 4 162 0 14 Aug 2021
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning Jinyuan Jia Yupei Liu Neil Zhenqiang Gong SILM SSL 16 151 0 01 Aug 2021
CCGL: Contrastive Cascade Graph Learning Xovee Xu Fan Zhou Kunpeng Zhang Siyuan Liu SSL 9 41 0 27 Jul 2021
A Survey on Role-Oriented Network Embedding Pengfei Jiao Xuan Guo T. Pan Wang Zhang Yulong Pei GNN 13 18 0 18 Jul 2021
Multi-Level Graph Contrastive Learning Pengpeng Shao Tong Liu Dawei Zhang J. Tao Feihu Che Guohua Yang 11 9 0 06 Jul 2021
Curvature Graph Neural Network Haifeng Li Jun Cao Jiawei Zhu Yu Liu Qing Zhu Guohua Wu 13 49 0 30 Jun 2021
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning Shanshan Wang Pengjie Ren Zhumin Chen Z. Ren Huasheng Liang Qiang Yan Evangelos Kanoulas Maarten de Rijke 6 5 0 29 Jun 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks Hengrui Zhang Qitian Wu Junchi Yan David Wipf Philip S. Yu SSL 22 210 0 23 Jun 2021
Prototypical Graph Contrastive Learning Shuai Lin Pan Zhou Zi-Yuan Hu Shuojia Wang Ruihui Zhao Yefeng Zheng Liang Lin Eric P. Xing Xiaodan Liang 14 86 0 17 Jun 2021
A Self-supervised Method for Entity Alignment Xiao Liu Haoyun Hong Xinghao Wang Zeyi Chen Evgeny Kharlamov Yuxiao Dong Jie Tang SSL 14 9 0 17 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 11 447 0 10 Jun 2021
Adversarial Graph Augmentation to Improve Graph Contrastive Learning Susheel Suresh Pan Li Cong Hao Jennifer Neville AAML 9 333 0 10 Jun 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 21 76 0 10 Jun 2021
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange Liang Zeng Jin Xu Zijun Yao Yanqiao Zhu Jian Li 22 1 0 10 Jun 2021
Self-supervised Graph-level Representation Learning with Local and Global Structure Minghao Xu Hang Wang Bingbing Ni Hongyu Guo Jian Tang SSL 11 204 0 08 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 11 0 0 07 Jun 2021
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph Mengying Sun Jing Xing Huijun Wang Bin Chen Jiayu Zhou 9 115 0 05 Jun 2021
CLEVE: Contrastive Pre-training for Event Extraction Ziqi Wang Xiaozhi Wang Xu Han Yankai Lin Lei Hou Zhiyuan Liu Peng Li Juan-Zi Li Jie Zhou 21 115 0 30 May 2021
GraphVICRegHSIC: Towards improved self-supervised representation learning for graphs with a hyrbid loss function Sayan Nag SSL 17 0 0 25 May 2021
Self-Supervised Graph Representation Learning via Topology Transformations Xiang Gao Wei Hu Guo-Jun Qi SSL 16 4 0 25 May 2021
Hypergraph Pre-training with Graph Neural Networks Boxin Du Changhe Yuan Robert A. Barton T. Neiman Hanghang Tong AI4CE 11 13 0 23 May 2021
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning Xiao Wang Nian Liu Hui-jun Han C. Shi SSL 18 375 0 19 May 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 26 241 0 16 May 2021
Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations Xiaolong Fan Maoguo Gong Yue Wu Hao Li SSL 25 4 0 14 May 2021
Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond Tianyuan Huang Zhecheng Wang Hao Sheng Andrew Y. Ng Ram Rajagopal AI4TS 19 10 0 06 May 2021
Real-time Data Infrastructure at Uber Yupeng Fu Chinmay Soman 15 35 0 31 Mar 2021